Nonlinear characteristics of randomly excited transonic flutter. - Lasse Engbo Christiansen; Tue Lehn-Schiøler; Erik Mosekilde; Peter Gránásy; Hiroshi Matsushita (Math. Comput. Simul., 2002)

Parzen particle filters. - Tue Lehn-Schiøler; Deniz Erdogmus; José C. Príncipe (ICASSP (5), 2004)

Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. - Anant Hegde; Deniz Erdogmus; Tue Lehn-Schiøler; Yadunandana N. Rao; José C. Príncipe (IJCNN, 2004)

Mapping from Speech to Images Using Continuous State Space Models. - Tue Lehn-Schiøler; Lars Kai Hansen; Jan Larsen (MLMI, 2004)

Multimedia mapping using continuous state space models. - Tue Lehn-Schiøler (MMSP, 2004)

Vector quantization using information theoretic concepts. - Tue Lehn-Schiøler; Anant Hegde; Deniz Erdogmus; José Carlos Príncipe (Nat. Comput., 2005)

Adaptive regularization of noisy linear inverse problems. - Lars Kai Hansen; Kristoffer Hougaard Madsen; Tue Lehn-Schiøler (EUSIPCO, 2006)

BLUES from Music: BLind Underdetermined Extraction of Sources from Music. - Michael Syskind Pedersen; Tue Lehn-Schiøler; Jan Larsen (ICA, 2006)

A Genre Classification Plug-in for Data Collection. - Tue Lehn-Schiøler; Jerónimo Arenas-García; Kaare Brandt Petersen; Lars Kai Hansen (ISMIR, 2006)

Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music. - Sigurdur Sigurdsson; Kaare Brandt Petersen; Tue Lehn-Schiøler (ISMIR, 2006)

Learning and clean-up in a large scale music database. - Lars Kai Hansen; Tue Lehn-Schiøler; Kaare Brandt Petersen; Jerónimo Arenas-García; Jan Larsen; Søren Holdt Jensen (EUSIPCO, 2007)

State-Space Models: From the EM Algorithm to a Gradient Approach. - Rasmus Kongsgaard Olsson; Kaare Brandt Petersen; Tue Lehn-Schiøler (Neural Comput., 2007)

Machine Learning for Condition Monitoring and Innovation. - Niels Henrik Pontoppidan; Tue Lehn-Schiøler; Kaare Brandt Petersen (ICASSP, 2019)